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Tai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
Justyna Szynkiewicz – ACM Transactions on Computing Education, 2025
Higher education institutions are under pressure to educate employable computing graduates who can meet society's needs. Education, as a process of becoming, shapes students' identities, and identity is an important topic to study because it influences students' motivation, retention and satisfaction. Identity serves as the link connecting an…
Descriptors: Computer Science Education, College Students, Self Concept, Foreign Countries
Tian, Hua; Chen, Jie – Education and Information Technologies, 2023
The importance of university students' electronic health (eHealth) literacy has been established in the literature, yet the association with computer skills is absent. In this study, a total of 5,672 university students were recruited from Xinyang University. Data were collected from an online questionnaire, including the Chinese eHealth Literacy…
Descriptors: Electronic Learning, Health Education, Multiple Literacies, Computer Literacy
Investigating the Factors That Engage Students to Be Successful in Hybrid Business Analytics Courses
Colleen Carraher-Wolverton; Guolin Lai; Jeremy T. Navarre; Dione Davis; Patricia Lanier – Journal of Information Systems Education, 2025
Business analytics is an emerging and prominent tool in many industries seeking to exploit the advantages of data-driven decision making. Simultaneously, educational institutions are developing and delivering business analytics offerings to equip business professionals with the tools necessary to implement business analytics in modern businesses.…
Descriptors: Business Education, Blended Learning, Academic Achievement, Data Analysis
Fan, Zongwen; Chiong, Raymond – Education and Information Technologies, 2023
Digital capabilities have become increasingly important in this digital age. Within a university setting, digital capability assessment is key to curriculum design and curriculum mapping, given that digital capabilities not only can help students engage and communicate with others but also succeed at work. To the best of our knowledge, however, no…
Descriptors: Course Content, Artificial Intelligence, Technological Literacy, Computer Literacy
Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Alfred Marleku; Ridvan Peshkopia; D. Stephen Voss – International Journal of Mathematical Education in Science and Technology, 2025
The global push to reorient social sciences in an increasingly technical direction might have a clear labour-market justification, but the efforts face headwinds from both faculty and students. This research is concerned with the fear that students would resist such a reorientation. Much of the pedagogic social-science research seeks ways to…
Descriptors: Statistical Analysis, Student Attitudes, College Students, Computer Literacy
Weixin Qi; Yawen Yu; Jie Liu; Jinfa Liu – Education and Information Technologies, 2025
In the wake of the COVID-19 pandemic, the demand for online learning has surged, driving rapid developments in online education. This technological advancement aligns with the global push to achieve the United Nations Sustainable Development Agenda for 2030. Despite extensive research on online learning efficacy, there is a gap in understanding…
Descriptors: College Students, COVID-19, Pandemics, In Person Learning
Juanjuan Wu; Shiman Li; Scott Spicer; Charlie Heinz – Marketing Education Review, 2025
The development of the VR ecosystem presents an unprecedented opportunity for the future of retail. Cultivating the foundational knowledge and skills necessary for retail students to thrive in this environment is essential. This study explores the potential of one such intervention through a Virtual Reality Retailing course that integrates a…
Descriptors: Business Education, Retailing, Computer Simulation, Computer Literacy
Yüner, Berna; Eriçok, Baris; Dagdeviren Ertas, Behiye – Journal of Learning and Teaching in Digital Age, 2023
COVID-19 has had serious consequences in all areas of social life, including education. In this period, distance education appeared as an inevitable solution. Even today, when the pandemic process is over and re-normalization has begun, online teaching environments have become such an indispensable part of education systems that it has been…
Descriptors: Academic Achievement, College Students, Higher Education, Distance Education
Cao, Guangming; Shaya, Nessrin; Enyinda, Chris I.; Abukhait, Rawan; Naboush, Eman – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study, drawing on and extending research on the adoption of information technologies (IT), develops a research model to investigate: (1) the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms; and (2) students' relative attitudes and relative intentions to use e-learning systems.…
Descriptors: Student Attitudes, Intention, Electronic Learning, COVID-19
Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Lu, Mengqiu; Xiao, Zhi-Wu – SAGE Open, 2022
This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316…
Descriptors: Electronic Learning, Intention, College Students, COVID-19
Kanyemba, Saara; Josua, Lukas Matati – Journal of Learning for Development, 2023
Student profiling on the use of technology for teaching, learning and assessment has the potential to enable educators to enhance their transformational teaching strategies. Therefore, this study explored the views of students on use of technology to facilitate online learning during COVID-19. The study employed a quantitative approach to collect…
Descriptors: Educational Technology, Science Education, COVID-19, Pandemics
Caughman, Alicia M.; Weigel, Emily G. – CBE - Life Sciences Education, 2022
Quantitative and computational skills are required of 21st-century biologists. While biology student abilities and attitudes toward math have been studied extensively, less is known about corresponding attitudes toward computer science (CS). It is important to understand how students perceive math and CS subjects and whether those perceptions are…
Descriptors: Biology, Mathematics Skills, Computer Literacy, Computer Science Education
Abd Aziz, Nurul Nadia; Aziz, Mohd Amar; Abd Rahman, Noor Amira Syazwani – Journal of Applied Research in Higher Education, 2023
Purpose: This study aimed to explore the technostress effects on the students' expectancy in their academic performance. Three main factors were used as predictors, namely techno-complexity (TC), techno-insecurity (TIS) and techno-overload (TO), to measure the students' performance expectancy via the mediating effects of student satisfaction (SS).…
Descriptors: Student Satisfaction, Technology Uses in Education, Anxiety, Academic Achievement

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